The Influence of Economic Segregation

Emily Badger of Wonkblog examines the policy effects of economic segregation, particularly the skewed view the wealthy have of poverty:

The wealthy, surrounded by other wealthy people, generally believed the U.S. population was wealthier than it actually is. It’s easy to imagine why they might make this mistake: If you look around you and see few poor people — on the street, in your child’s classroom, at the grocery store — you may think poverty is pretty rare.

See also: Dawtry, Sutton & Sibley, Why Wealthier People Think People Are Wealthier, and Why It Matters

NBER Working Papers

The Impact of Financial Education for Youth in Ghana
by James Berry, Dean Karlan, Menno Pradhan #21068
Abstract; PDF

Creative Destruction and Subjective Wellbeing
by Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet #21069
Abstract; PDF

Low-Income Housing Policy
by Robert Collinson, Ingrid Gould Ellen, Jens Ludwig #21071
Abstract; PDF

The Marriage Market, Labor Supply and Education Choice
by Pierre-Andre Chiappori, Monica Costa Dias, Costas Meghir #21004
Abstract; PDF

The Effect of Mandated Child Care on Female Wages in Chile
by Maria F. Prada, Graciana Rucci, Sergio S. Urzua #21080
Abstract; PDF

The Geography of Development: Evaluating Migration Restrictions and Coastal Flooding
by Klaus Desmet, David Krisztian Nagy, Esteban Rossi-Hansberg #21087
Abstract; PDF

Delay Functions as the Foundation of Time Preference: Testing for Separable Discounted Utility
by Keith Marzilli Ericson, Jawwad Noor #21095
Abstract; PDF

Ethnic Complementarities after the Opening of China: How Chinese Graduate Students Affected the Productivity of Their Advisors
by George J. Borjas, Kirk B. Doran, Ying Shen #21096
Abstract; PDF

The Half-Life of Happiness: Hedonic Adaptation in the Subjective Well-Being of Poor Slum Dwellers to a Large Improvement in Housing
by Sebastian Galiani, Paul J. Gertler, Raimundo Undurraga #21098
Abstract; PDF

Child Cash Benefits and Family Expenditures: Evidence from the National Child Benefit
by Lauren E. Jones, Kevin S. Milligan, Mark Stabile #21101
Abstract; PDF

Demystifying the Chinese Housing Boom
by Hanming Fang, Quanlin Gu, Wei Xiong, Li-An Zhou #21112
Abstract; PDF

The Weaker Sex? Vulnerable Men, Resilient Women, and Variations in Sex Differences in Mortality since 1900
by Mark R. Cullen, Michael Baiocchi, Karen Eggleston, Pooja Loftus, Victor Fuchs #21114
Abstract; PDF

Goldilocks Economies? Temperature Stress and the Direct Impacts of Climate Change
by Geoffrey Heal, Jisung Park #21119
Abstract; PDF

The Effect of State Taxes on the Geographical Location of Top Earners: Evidence from Star Scientists
by Enrico Moretti, Daniel Wilson #21120
Abstract; PDF

Are Immigrants a Shot in the Arm for the Local Economy?
by Gihoon Hong, John McLaren #21123
Abstract; PDF

What Drives Nutritional Disparities? Retail Access and Food Purchases Across the Socioeconomic Spectrum
by Jessie Handbury, Ilya Rahkovsky, Molly Schnell #21126
Abstract; PDF

Slack Time and Innovation
by Ajay Agrawal, Christian Catalini, Avi Goldfarb #21134
Abstract; PDF

Career Technical Education and Labor Market Outcomes: Evidence from California Community Colleges
by Ann Huff Stevens, Michal Kurlaender, Michel Grosz #21137
Abstract; PDF

The Impact of Tuition Increases on Undocumented College Students’ Attainment
by Dylan Conger, Lesley J. Turner #21135
Abstract; PDF

Preference for Boys, Family Size and Educational Attainment in India
by Adriana D. Kugler, Santosh Kumar #21138
Abstract; PDF

New Book From the Oxford Poverty & Human Development Initiative

The Oxford Poverty & Human Development Initiative published a book on Multidimensional Poverty Measurement & Analysis:

Multidimensional poverty measurement and analysis is evolving rapidly. Quite recently, a particular counting approach to multidimensional poverty measurement, developed by Sabina Alkire and James Foster, has created considerable interest. Notably, it has informed the publication of the Global Multidimensional Poverty Index (MPI) estimates in the Human Development Reports of the United Nations Development Programme since 2010, and the release of national poverty measures in Chile, Mexico, Colombia, Bhutan and the Philippines. The academic response has been similarly swift, with related articles published in both theoretical and applied journals.

The high and insistent demand for in-depth and precise accounts of multidimensional poverty measurement motivates this book, which is aimed at graduate students in quantitative social sciences, researchers of poverty measurement, and technical staff in governments and international agencies who create multidimensional poverty measures.

Draft chapters are available online.

NBER Working Papers

How Does Health Promotion Work? Evidence From The Dirty Business of Eliminating Open Defecation
by Paul Gertler, Manisha Shah, Maria Laura Alzua, Lisa Cameron, Sebastian Martinez, Sumeet Patil #20997
Abstract; PDF

Retrospective and Prospective Benefit-Cost Analysis of US Anti-Smoking Policies
by Lawrence Jin, Donald S. Kenkel, Feng Liu, Hua Wang #20998
Abstract; PDF

Reference Points and Redistributive Preferences: Experimental Evidence
by Jimmy Charite, Raymond Fisman, Ilyana Kuziemko #21009
Abstract; PDF

Effects of Peer Counseling to Support Breastfeeding: Assessing the External Validity of a Randomized Field Experiment
by Onur Altindag, Theodore J. Joyce, Julie A. Reeder #21013
Abstract; PDF

Treasure Hunt: Social Learning in the Field
by Markus Mobius, Tuan Phan, Adam Szeidl #21014
Abstract; PDF

Physician Incentives and the Rise in C-sections: Evidence from Canada
by Sara Allin, Michael Baker, Maripier Isabelle, Mark Stabile #21022
Abstract; PDF

Correlation, Consumption, Confusion, or Constraints: Why do Poor Children Perform so Poorly?
by Elizabeth M. Caucutt, Lance Lochner, Youngmin Park #21023
Abstract; PDF

Do “Consumer-Directed” Health Plans Bend the Cost Curve Over Time?
by Amelia M. Haviland, Matthew D. Eisenberg, Ateev Mehrotra, Peter J. Huckfeldt, Neeraj Sood #21031
Abstract; PDF

Consumer Bankruptcy and Financial Health
by Will Dobbie, Paul Goldsmith-Pinkham, Crystal Yang #21032
Abstract; PDF

Quantile Regression with Panel Data
by Bryan S. Graham, Jinyong Hahn, Alexandre Poirier, James L. Powell #21034
Abstract; PDF

Temporary Assistance for Needy Families
by James P. Ziliak #21038
Abstract; PDF

Learning to Take Risks? The Effect of Education on Risk-Taking in Financial Markets
by Sandra E. Black, Paul J. Devereux, Petter Lundborg, Kaveh Majlesi #21043
Abstract; PDF

The Welfare Effects of Coordinated Assignment: Evidence from the NYC HS Match
by Atila Abdulkadiroglu, Nikhil Agarwal, Parag A. Pathak #21046
Abstract; PDF

What Do We Know So Far about Multigenerational Mobility?
by Gary Solon #21053
Abstract; PDF

The Effect of Community Traumatic Events on Student Achievement: Evidence from the Beltway Sniper Attacks
by Seth Gershenson, Erdal Tekin #21055
Abstract; PDF

U.S. Food and Nutrition Programs
by Hilary W. Hoynes, Diane Whitmore Schanzenbach #21057
Abstract; PDF

Why Are Indian Children So Short?
by Seema Jayachandran, Rohini Pande #21036
Abstract; PDF

Do Politicians Change Public Attitudes?
by Magnus Carlsson, Gordon B. Dahl, Dan-Olof Rooth #21062
Abstract; PDF

Decentralizing Education Resources: School Grants in Senegal
by Pedro Carneiro, Oswald Koussihouede, Nathalie Lahire, Costas Meghir, Corina Mommaerts #21063
Abstract; PDF

Spatial Variation in Higher Education Financing and the Supply of College Graduates
by John Kennan #21065
Abstract; PDF

Mapping the Oldest and Youngest States in the U.S.

Ana Swanson of Wonkblog examines a series of animated maps created by Jishai Evers of Dadaviz showing the states and counties where different generations (“Greatest Generation” to “Generation Z”).

A few generations ago, most people lived out their lives in the places where they were born. Today, Americans are used to moving, often due to the pull of economic opportunity. Teenagers move across the country to go to college, 20- and 30-somethings flock to cities for jobs, and white-haired “snow birds” head to Florida or Arizona to escape the winter.

Changes in Hourly Earnings by State

The Economics Daily (from the Bureau of Labor Statistics) reports on the percent changes in average hourly earning by state, May 2014 to May 2015 using data from the Current Employment Statistics (State and Metro Areas).

New Database: Soshoo 搜數

The Library has acquired access to Soshoo 搜數, a major database for China-related statistical data. It provides full search function to all data, covering Mainland, Hong Kong, and Taiwan. As of April 2015, the Chinese-language interface of Soshoo includes 7030 volumes of statistical materials and 1,536,360 tables, and the English-language version contains 258 titles of yearbooks and 114,083 tables. All data can be exported as Excel form.

Access here:
(Ann Arbor, Dearborn, and Flint all have access. Handbook is here. Three concurrent users limit.)

Please note: English version of Soshoo can be accessed by clicking this button:

image of SoShoo webpage

Age at Marriage and Risk of Divorce

Christopher Ingraham of Wonkblog writes about a new analysis of family data data by Nicholas Wolfinger:

Conventional wisdom has it that the older you are when you get married, the lower your chances for divorce. But a fascinating new analysis of family data by Nicholas H. Wolfinger, a sociologist at the University of Utah, suggests that after a certain point, the risk of divorce starts to rise again as you get older.

See Wolfinger’s report at Family Studies: Want to Avoid Divorce? Wait to Get Married, But Not Too Long.

See also his follow up, Replicating the Goldilocks Theory of Marriage and Divorce.

Poll Results and Response Rates

Scott Keeter, Pew Research Center’s director of survey research, discusses declining response rates and what it means for survey reliability.

Preliminary Birth Data for 2014

The National Vital Statistics System released Births: Preliminary Data for 2014. The general fertility rate increased by 1% (the first increase since 2007), though the birth rate for teenagers and women aged 20-24 continued to decrease (both rates are at historic lows). The birth rates for women aged 30-34 and 35-39 seem to be driving the overall fertility increase: the number of births in these age groups increase by 4% and 5% respectively.